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Real-time neuralnetwork system fornon-destructivecontrol of asphaltmixtures compaction :доклад, тезисыдоклада Nabizhanov Zh.I.Prokopev A.P.Emelyanov R.T.2021 год

Real-time neural network system for non-destructive control of asphalt mixtures compaction : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

Дополнительные ссылки: eLibrary · Источник статьи · eLibrary · Источник статьи
База данных: Каталог библиотеки СФУ
Библиографическое описание: Real-time neural network system for non-destructive control of asphalt mixtures compaction : доклад, тезисы доклада / Zh. I. Nabizhanov, A. P. Prokopev, R. T. Emelyanov. - [S. l. : s. n.], 2021. - Текст : непосредственный // IOP Conference Series: Materials Science and Engineering : II International Scientific Conference on Advances in Material Science and Technology (CAMSTech-II 2021) / II International Scientific Conference on Advances in Material Science and Technology (CAMSTech-II 2021) (2021 ; 31.08 - 27.09 ; Krasnoyarsk) : IOP Publishing Ltd, 2021. - 1181. - P. 012021-012021. - DOI 10.1088/1757-899X/1181/1/012021.
Аннотация: The problem is considered of designing a neural network system for control of road?materials compaction in real time. The system is designed to ensure the functioning of nondestructive technology in road construction. A model of an artificial neural network (ANN) for?monitoring the quality of compaction of road materials during the operation of vibrating rollers?in real time is obtained. The system provides normalization of the input data of the ANN model.?For the design of the ANN, the following methods were used: the least mean square deviation?method; Levenberg-Marquardt algorithm; backpropagation. The structure of a non-destructive?neural network system for monitoring compaction in real time is obtained. The results of?numerical simulation of a system with an ANN for predicting the compaction coefficient of road?materials are presented.?
Год издания: 2021
Авторы: Nabizhanov Zh.I. , Prokopev A.P. , Emelyanov R.T.
Издательство: IOP Publishing Ltd
Источник: IOP Conference Series: Materials Science and Engineering
Выпуск: 1181
Мероприятие: II International Scientific Conference on Advances in Material Science and Technology (CAMSTech-II 2021) (Krasnoyarsk, 2021 ; 31.08 - 27.09)
Номера страниц: 012021-012021
Держатель оригинала документа: Siberian Federal University
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

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